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Thesis . 2025
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Thesis . 2025
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Thesis . 2025
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Thesis . 2025
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Intelligenza Artificiale e sue applicazioni in informatica gestionale

Authors: Amoruso, Vincenzo;

Intelligenza Artificiale e sue applicazioni in informatica gestionale

Abstract

Questa tesi esplora le applicazioni pratiche dell'Intelligenza Artificiale (IA) nell’ambito dell’informatica gestionale, con un focus specifico sullo sviluppo di una web application dimostrativa. Utilizzando tecnologie open-source come Flask, Python e le librerie Hugging Face, sono state realizzate tre funzionalità principali:OCR per scontrini fiscali: riconoscimento dei dati da immagini tramite AI (importo, esercente, data);Chatbot NLP: sistema Q&A in grado di rispondere a domande su PDF caricati dall’utente usando modelli BERT per l’italiano;Gestione assenze via voce: utilizzo di Web Speech API e NLP per inserire assenze da comandi vocali.L’obiettivo è dimostrare l’integrazione efficace di modelli AI in soluzioni gestionali a basso costo e con tecnologie facilmente distribuibili in contesti aziendali.La tesi include architettura tecnica, codice, librerie e casi d’uso, fornendo un modello replicabile per applicazioni AI reali nel business.Link del materiale :https://github.com/vamoruso/WebAppAI

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Keywords

OCR, Flask, gestionale, AI, Hugging Face, chatbot, tecnologie web, intelligenza artificiale, NLP, Web Speech API

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green